Breast Cancer classification with Artifical Neural Network

What is Neural Network?

Artificial neural networks are computing systems inspired by the biological neural networks that constitute animal brain.

Neural Network with structure MLP - Multi Layer Perceptron

• Neurons number on input layer: 4
• Neurons number on hidden layer: 50
• Neurons number on input layer: 2
• Acttivation function: LeakyReLU (on hidden layer) and Sigmoid (output layer)
• Learning rate: 0.00003

URL Dataset

Breast Cancer Winsconsin (Diagnostic) Data set, from UCI - Machine Learning Repository

Used columns in the heatmap above

Attribute	Abbreviation
Clump Thickness	CT
Uniformity of Cell Size	UCS
Uniformity of Cell Shape	UC
Marginal Adhesion	MA
Single Epithelial Cell Size	SECS
Bare Nuclei	BN
Bland Chromatin	BC
Normal Nucleoli	NN
Mitoses	M

Usage

python3 test.py

• Colaborators
  • Émerson Silva
  • Luís Eduardo